Table REF  reports the comparison results.
Our method significantly surpasses both baselines under all the evaluation metrics on the SOBA-VID test set.
The IoU Tracker relies heavily on the quality of the detection results, whereas Mask2Former can only recognize objects of the same category as those in the training data [1]}.
In contrast, our approach benefits from the end-to-end training and knowledge learned from the unlabeled videos; see Fig. REF  for visual comparisons between SSIS-Track and “SSIS + Mask2Former”.
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